Fake Medicine Detection Using Blockchain

Fake Medicine Detection Using Blockchain

Disha Deshmane, Pranali Pawar, Sana Nasur, Vaishnavi Mitapelli, Amruta Kothavade

Information Technology
A. C. Patil College of engineering
Kharghar, India

Abstract— Healthcare  supply chains are complex structures gauging  across multiple organizational and geographical boundaries,  furnishing critical backbone to services vital for everyday life. The  essential complexity of  similar systems can introduce  contaminations including inaccurate information, lack of  translucency and limited data provenance. Fake  medicines are one consequence of  similar limitations within being  supply chains which not only has serious adverse impact on  mortal health but also causes severe  profitable loss to the healthcare industry. Accordingly, being studies have emphasized the need for a robust, end- to- end track and trace system for pharmaceutical  supply chains. Therein, an end- to- end product  shadowing system across the pharmaceutical  supply chain is consummate to  icing product safety and  barring fakes.  Fake  medicines are an expanding serious issue associated with the healthcare industry which causes extreme  consequences to the society. The traceability of the  medicines throughout the pharma  supply chain is a  delicate task. Another serious issue in combating  fake  drugs in healthcare systems is the  conservation and sharing of health records. The security of e health records is of  high concern as they're prone to confidentiality and integrity  consequences. The negligence of these  consequences might have severe consequences to the healthcare systems like death of the case. Therefore the need arises to design a blockchain based system which helps in fighting with the falsified  drugs and  icing the security of e-health records.  The being  supply chain for the pharmaceutical industry is obsolete and lacks clear visibility over the entire system. Also, the rotation of  fake  medicines in the  request has increased over the times. According to the who report, around 10.5% of the medicinal  medicines in lower/ middle income countries are fake and  similar  medicines may pose serious  consequences to public health,  occasionally leading to death. Keeping these  consequences in mind, in this paper, we propose a blockchain- based model to track the movement of  medicines from the industry to the case and to minimize the chances of a  medicine being  fake. The reasons for using blockchain technology in our work include its  invariability property and easy  shadowing of an  reality in the blockchain. Through this proposed model, the manufacturer would be  suitable to upload the details corresponding to a  medicine, after which it'll be  transferred for  blessing  our  perpetration of the proposed blockchain based model highlights that the model can successfully  descry any  medicine being  fake. This will be  salutary for the  druggies getting affected with  fake  medicines. Also, with the proposed model, we can also track the movement of the  medicine beginning from the manufacturer right up to the case consuming that  medicine